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Artificial intelligence (AI)-enabled testing involves leveraging AI algorithms and techniques to automate diverse aspects of the software testing process, encompassing test case generation, execution, and result analysis. By enhancing efficiency, accuracy, and scalability in software testing endeavors, this approach enables organizations to conduct more adaptive and effective testing, ultimately resulting in higher software quality, accelerated time-to-market, and enhanced customer satisfaction.

The primary components of AI-enabled testing comprise both software and services. Software encompasses a set of instructions and data that enable computers or other devices to perform specific tasks or functions. These solutions are deployed through various means, including on-premises and cloud-based platforms, leveraging technologies such as machine learning, pattern recognition, natural language processing (NLP), computer vision, and image processing. They find application in diverse sectors such as healthcare, information technology, telecommunications, energy and utilities, banking, financial services, insurance (BFSI), government, and others, facilitating test automation, infrastructure optimization, and other functionalities.

The artificial intelligence (AI)-enabled testing market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI)-enabled testing market statistics, including artificial intelligence (AI)-enabled testing industry global market size, regional shares, competitors with artificial intelligence (AI)-enabled testing market share, detailed artificial intelligence (AI)-enabled testing market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI)-enabled testing industry. This artificial intelligence (AI)-enabled testing market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI) enabled testing market size has grown exponentially in recent years. It will grow from $0.7 billion in 2024 to $0.86 billion in 2025 at a compound annual growth rate (CAGR) of 22.3%. The growth in the historic period can be attributed to the demand for accelerated software development, the complexity of software systems, the adoption of agile and DevOps methodologies, the need for enhanced test coverage and accuracy, and the pressure to reduce testing costs.

The artificial intelligence (AI) enabled testing market size is expected to see exponential growth in the next few years. It will grow to $1.9 billion in 2029 at a compound annual growth rate (CAGR) of 22.0%. The growth in the forecast period can be attributed to the emergence of AI-powered test analytics platforms, integration of AI with test management tools, expansion of AI capabilities in continuous testing pipelines, demand for AI-driven security testing solutions, a proliferation of AI-based testing in IoT and embedded systems. Major trends in the forecast period include the adoption of AI-driven test generation and execution, the rise of AI-based autonomous testing agents, the growth of AI-enabled predictive testing models, the integration of AI with blockchain testing frameworks, and the expansion of AI-driven testing to edge computing environments.

The advancement of cloud computing is poised to drive the artificial intelligence (AI)-enabled testing market forward. Cloud computing involves delivering a range of computing services over the Internet, including servers, storage, databases, networking, software, and analytics. This approach enables faster innovation, flexible resource allocation, and economies of scale. The surge in cloud computing is attributed to its scalability, cost-efficiency, and accessibility, allowing businesses to streamline operations, increase flexibility, and leverage advanced technologies without significant infrastructure investments. AI-powered testing utilizes testing data to generate actionable insights, assisting stakeholders in making informed decisions regarding software quality and deployment readiness. For example, Eurostat, a Luxembourg-based governmental organization of the European Union serving as the statistical office, reported in December 2023 that the adoption rate of cloud computing services among medium-sized enterprises rose to 59% in 2022, up from 53% in 2021. Consequently, the growth of cloud computing is propelling the artificial intelligence (AI)-enabled testing market.

Key players in the artificial intelligence (AI)-enabled testing market are focusing on developing advanced testing solutions, such as application security testing solutions, to maintain a competitive advantage. Application security testing solutions assist organizations in proactively identifying and addressing security vulnerabilities in their software applications, mitigating the risk of security breaches and safeguarding sensitive data from unauthorized access or exploitation. For instance, in April 2024, Invicti, a US-based web application security company, introduced an AI-enabled Predictive Risk Scoring feature. This functionality assigns predicted risk levels to applications, allowing organizations to gain strategic insights into security risks. The new capability streamlines the application security testing process by profiling and calculating a risk score for all detected web applications before scanning commences, eliminating the need for scanning resources or customer data to assess risk scores.

In February 2022, Tricentis GmbH, a US-based software testing company, acquired Testim Inc. for an undisclosed sum. Through this acquisition, Tricentis aims to expand software test automation in the enterprise and simplify test automation processes, enabling organizations to create end-to-end tests quickly and effortlessly. Testim Inc. is a US-based company specializing in AI-powered test automation solutions for web applications.

Major companies operating in the artificial intelligence (AI) enabled testing market report are Amazon.com Inc.; Google LLC; Microsoft Corporation; Dell Technologies Inc.; Siemens AG; International Business Machines Corporation (IBM); Cisco Systems Inc.; Oracle Corporation; Broadcom Inc.; SAP SE; Hewlett Packard Enterprise Company; Salesforce.com Inc.; Adobe Inc.; VMware Inc.; ServiceNow Inc.; Autodesk Inc.; Red Hat Inc.; Twilio Inc.; Citrix Systems Inc.; Atlassian Corporation Plc; RingCentral Inc.; GitHub Inc.; Slack Technologies Inc.; Sonatype Inc.; CA Technologies Inc.

North America was the largest region in the artificial intelligence (AI)-enabled testing in 2024. Asia Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) enabled testing market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence (AI) enabled testing market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The artificial intelligence (AI)-enabled testing market includes revenues earned by entities by providing services such as defect prediction, intelligent test case prioritization, anomaly detection, predictive maintenance, performance optimization, and root cause analysis. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI) Enabled Testing Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on artificial intelligence (ai) enabled testing market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

Reasons to Purchase

Where is the largest and fastest growing market for artificial intelligence (ai) enabled testing ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The artificial intelligence (ai) enabled testing market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

Scope

Table of Contents

1. Executive Summary

2. Artificial Intelligence (AI) Enabled Testing Market Characteristics

3. Artificial Intelligence (AI) Enabled Testing Market Trends And Strategies

4. Artificial Intelligence (AI) Enabled Testing Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Covid And Recovery On The Market

5. Global Artificial Intelligence (AI) Enabled Testing Growth Analysis And Strategic Analysis Framework

6. Artificial Intelligence (AI) Enabled Testing Market Segmentation

7. Artificial Intelligence (AI) Enabled Testing Market Regional And Country Analysis

8. Asia-Pacific Artificial Intelligence (AI) Enabled Testing Market

9. China Artificial Intelligence (AI) Enabled Testing Market

10. India Artificial Intelligence (AI) Enabled Testing Market

11. Japan Artificial Intelligence (AI) Enabled Testing Market

12. Australia Artificial Intelligence (AI) Enabled Testing Market

13. Indonesia Artificial Intelligence (AI) Enabled Testing Market

14. South Korea Artificial Intelligence (AI) Enabled Testing Market

15. Western Europe Artificial Intelligence (AI) Enabled Testing Market

16. UK Artificial Intelligence (AI) Enabled Testing Market

17. Germany Artificial Intelligence (AI) Enabled Testing Market

18. France Artificial Intelligence (AI) Enabled Testing Market

19. Italy Artificial Intelligence (AI) Enabled Testing Market

20. Spain Artificial Intelligence (AI) Enabled Testing Market

21. Eastern Europe Artificial Intelligence (AI) Enabled Testing Market

22. Russia Artificial Intelligence (AI) Enabled Testing Market

23. North America Artificial Intelligence (AI) Enabled Testing Market

24. USA Artificial Intelligence (AI) Enabled Testing Market

25. Canada Artificial Intelligence (AI) Enabled Testing Market

26. South America Artificial Intelligence (AI) Enabled Testing Market

27. Brazil Artificial Intelligence (AI) Enabled Testing Market

28. Middle East Artificial Intelligence (AI) Enabled Testing Market

29. Africa Artificial Intelligence (AI) Enabled Testing Market

30. Artificial Intelligence (AI) Enabled Testing Market Competitive Landscape And Company Profiles

31. Artificial Intelligence (AI) Enabled Testing Market Other Major And Innovative Companies

32. Global Artificial Intelligence (AI) Enabled Testing Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Artificial Intelligence (AI) Enabled Testing Market

34. Recent Developments In The Artificial Intelligence (AI) Enabled Testing Market

35. Artificial Intelligence (AI) Enabled Testing Market High Potential Countries, Segments and Strategies

36. Appendix

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